Problem #1 of running 100 AI agents: coordination, conflicts and dependency chaos
goyalshaliniuk · x · 2026-11-07
Part 1 of the author's five-part series: more agents don't automatically mean more productivity. Multiple agents may work on the same task, duplicate efforts or produce conflicting results; dependencies become harder to manage and poor orchestration creates unnecessary communication loops. Remedies: a central orchestrator, clearly defined agent responsibilities, and established task ownership. The post points to CrewAI as tooling.
Related event: Scaling from 1 to 100 AI Agents: Five Engineering Pillars You Need First(7 posts)→
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